Whizlabs

JUNE 27, 2021

Describing the components of a modern data warehouse. Describing data processing and data ingestion over Azure. Describing data visualization over Microsoft Power BI. How to Prepare for the Microsoft Azure Data Fundamentals DP-900 Exam? Azure Data Fundamentals: Explore Relational Data in Azure- 3 modules.

Documentation 104

Documentation Data Warehouse Data Visualization Data Analytics 104

Data Pine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Domo

MAY 7, 2021

Data repositories. Lots of data—structured and unstructured—gets dumped into data warehouses, lakes, and non-relational databases. These repositories often hold old records such as customer, employee, or financial data that must be kept for compliance reasons yet incur considerable storage costs.

Data Warehouse 98

Data Warehouse Documentation Retail Finance 98

Astera

DECEMBER 9, 2024

Data Governance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.

Data Warehouse 52

Data Warehouse Data Governance Government Data Quality 52

Sisense

MARCH 6, 2019

This is why I liked that James Richardson, Sr Director Analyst at Gartner, chose to share a slide with the titles of the three books written by one of my favorite authors – Yuval Noah Harari. This is why leadership is important for BI professionals. Without it, they cannot drive change.

Data Analytics 75

Data Analytics Data Analytics Data Warehouse Agile 75

Actian

SEPTEMBER 17, 2019

The process was slow and with very few methods to measure the accuracy and completeness of the data. Thankfully, technological developments since 2010 have made these manual processes virtually obsolete, so the position of data historian can soon be relegated to history books. Technology that enables modern data management.

Artificial Intelligence 9

Artificial Intelligence Data Warehouse Digital Transformation Data Management 9

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Insight Software

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL. Book A Demo.

Supply Chain 52

Supply Chain Data Warehouse Finance Financial Analysis 52

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Her debut novel, The Book of Jeremiah , was published in 2019.

Data Visualization 93

Data Visualization Visualization Predictive Analytics Data Warehouse 93

Sisense

FEBRUARY 16, 2021

Data warehouses have become intensely important in the modern business world. For many organizations, it’s not uncommon for all their data to be extracted, loaded unchanged into data warehouses, and then transformed via cleaning, merging, aggregation, etc. OLTP does not hold historical data, only current data.

Data Modelling 52

Data Modelling Data Warehouse Banking Real-time Data 52

Domo

MAY 13, 2021

Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

MindsMapped

JULY 22, 2020

I asked if i can unwrap it, to which he gladly agreed and i couldn’t believe my eyes it was the book which i had been exploring quite sometime back and that came as a gift to me and the book name is “How to Start a Business Analyst Career” written by Laura Brandenburg.He Data-warehouse projects.

Business Analysis 75

Business Analysis Business Analysis Business Intelligence Business Intelligence 75

Data Pine

MARCH 31, 2022

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. Data Analysis : Most BI skills and intelligence analyst-related skills are about using data to make better decisions. Business Intelligence Job Roles.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

JUNE 14, 2023

Flight Reservation Systems: These systems allow customers to search for flights, book tickets, and make changes to their reservations. Hotel Reservation Systems: These systems allow customers to search for hotels, book rooms, and manage their reservations. Astera Data Warehouse Builder supports various data sources and formats.

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Astera

JUNE 3, 2024

Data warehouses Data warehouses are a specialized type of database designed for a specific purpose: large-scale data analysis. This allows data to be retrieved from various tables when needed, based on the established relationships. These are some of the most common databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Insight Software

DECEMBER 8, 2020

For more information about the risks of Power BI, download our FREE e-book, 5 Unknown Facts about Power BI That Create Project Risk. Power BI Without the Risk. insightsoftware offers reporting and analysis tools that provide self-service, user-friendly capabilities, with integration to Power BI and Excel.

Finance 52

Finance Supply Chain Cloud Computing Data Warehouse 52

Actian

FEBRUARY 25, 2020

Modern “event-driven” applications are more like a “choose your own adventure” book, where the end-to-end transaction flow may not be pre-defined at all. Events and data are evaluated, leading to dynamic workflows emerging based upon the needs of the individual transaction.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Astera

AUGUST 16, 2024

The presence of diverse data assets requires organizations to plan, implement, and validate the source data during migration. Improper planning can lead to data corruption or loss. The data migration plan should ensure the target system will support all the required integrated tools.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Sisense

JUNE 24, 2019

From a humble beginning selling books out of a garage, the Seattle ecommerce giant dove headfirst into cloud computing and established itself as a leader in the field. If you’re working on a cloud-native project and need a system that easily handles containerized applications, Kuburnetes could be for you. AWS Automation Tools.

Cloud Computing 75

Cloud Computing Monitoring Data Warehouse 75

Astera

MAY 14, 2024

As a result, your data becomes quick to discover, easier to understand, and more accessible by humans and machines. A library wouldn’t just store books on random shelves; it would categorize them, label them, and have entries in a catalog system. Metadata management does the same thing for your data.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

JULY 18, 2023

Variety of Connectors: The tool supports a large library of on-premises and cloud-based sources and destinations including databases, data warehouses, and data lakes. Data transformation: Astera offers various built-in transformations and functions that allow you to manipulate your data the way you want.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Data Pine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Inflexion Analytics

JUNE 17, 2024

What is a Data Pipeline and How Can Google CDF Help? A data pipeline serves as a data engineering solution transporting data from its sources to cloud-based or on-premise systems, data warehouses, or data lakes, refining and cleansing it as necessary. And so far it’s shaping up very well.

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52

Astera

FEBRUARY 7, 2024

Its versatility allows for its usage both as a database and as a data warehouse when needed. Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse. The two complement each other so you can leverage your data more easily.

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52

Astera

AUGUST 4, 2023

However, like all fishing trips, this demands careful planning and management to ensure data quality , security, and regulatory compliance. Data Lake vs Data Warehouse: What’s the difference? A data warehouse is a large repository that organizations use to store and manage their data.

Data Warehouse 52

Data Warehouse Data Quality Business Intelligence Business Intelligence 52

Insight Software

DECEMBER 17, 2020

Tufte powerfully illustrates the impact that data visualization can have on real-world decisions. In the book, he provides a compelling example of how data visualization can lead observers to discover meaning in data that might otherwise appear too cryptic, ultimately saving countless lives as a result.

Data Visualization 72

Data Visualization Finance Visualization Data Warehouse 72

Astera

NOVEMBER 30, 2023

Consider a customer who frequently uses their credit card to book flights and hotels. For example, demographic data, such as age, gender, or location, can be added to customer records to enable better segmentation and targeting.

Banking 52

Banking Finance Data Security Data Warehouse 52

Astera

AUGUST 15, 2024

What is Data Access? Data access is the users’ ability to retrieve, modify, move, and share data, typically stored on an offline storage device, a data warehouse, or the cloud. Book a Free Demo to See How Types of Data Access There are two types of data access for data at rest (i.e.,

Data Governance 52

Data Governance Data Security Government Data Warehouse 52

Leading Agile

NOVEMBER 21, 2024

I’ve read some books, I thematically know what it is, but I also know there’s a lot of people that get very prescriptive in terms of what domain design is domain-driven design is, and what the words mean and how it’s applied and it’s a thing and all this stuff. Probably one of the most interesting books.

Agile 83

Agile Collaborative Game Data Warehouse Business Architecture 83

Astera

DECEMBER 6, 2024

They are trained using large, high-quality datasets with billions and billions of words from books, websites, articles, and other online sources of text. NLP can parse unstructured text data to detect and standardize inconsistencies, such as variations in names, dates, or addresses, ensuring data quality in data management workflows.

Documentation 52

Documentation E-Commerce Artificial Intelligence Data Warehouse 52

Leading Agile

NOVEMBER 15, 2024

We’ve worked with marketing companies and book publishers and all kinds of different things, hotel chains, fast food restaurants, all kinds of different stuff. And there’s a line in one of, I think it’s the first less book that talks about the idea. Probably one of the most interesting books.

Agile 77

Agile IBM Maintenance Project Management IBM cost 77

Insight Software

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. To learn more about taking a disciplined approach to pricing and all the considerations that shape your go-to-market strategy, download this e-book.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Insight Software

NOVEMBER 1, 2021

There are many ways in which your business can conduct a month-end close process–whether it be using financial reporting software, excel sheets, or an actual ledger book–but what’s important is that you cover all procedures effectively and precisely. How Long will Closing the Books Take? What is a Month-End Close Process? Download Now.

IBM Support 98

IBM Support IBM Maintenance Supply Chain Planning 98

Insight Software

OCTOBER 7, 2021

Days to Complete Monthly Close – This example shows how efficient the internal accounting department is at closing the books at the end of each month. Days to Complete Annual Close – Similar to the previous measure, this shows how fast your internal accounting department is at closing the year end books.

IBM Maintenance 110

IBM Maintenance IBM cost IBM Support IBM Expert 110

Insight Software

FEBRUARY 23, 2024

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

AUGUST 27, 2021

Jet Analytics is a robust Business Intelligence (BI) solution that complements Jet Reports with a data warehouse and advanced analytics capabilities. It includes pre-built projects, cubes, and data models, as well as a suite of ready-to-run reports and dashboards. We designed Jet Analytics for operational efficiency.

IBM Maintenance 98

IBM Maintenance IBM Support IBM cost Data Warehouse 98